PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-03 10:20:32.747088+00:00 (UTC)
In US/Central Time, this is 2024-05-03 05:20:32.747088-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/0ca1a54733a2389c6e68483876459099d8a770a841fa8bf04a3b0e3b2101a9d2.png
We are just generating a random time serie here.
../_images/4c6df56a7eea0330e30af027721a3ecfa7258db65bf5c08e982a1128660b54e4.png
../_images/5e15ea9caa0b852d5d25cc998039ea197632cc5e482939c926090c91c2c4880e.png